Set flag with hipCtxCreate so that get flags works.
Validate hipHostGetDevicePointer for flags!=0.
Validate mem cpy kind and accommodate new type hipMemcpyDeviceToDeviceNoCU.
Match error code for hipGetChannelDesc.
Change-Id: If09a635ac01bc53f1fe2b7df3f3f9c1b0d69a0ab
Add __host__ and __device__ to bunch of operator/function matching CUDA
Fix some bugs seen in __hisinf
Change-Id: I9e67e3e3eb2083b463158f3e250e5221c89b2896
- Track all captured commands under a new AccumulateCommand
- Add begin() and end() methods to capture commands
- Explicit TS object now passed to certain methods because
profilingBegin() and profilingEnd() now happen separately and thus can
run into threading issues
Change-Id: I171106bdcad72b057836cb2f3fc398db3533119f
- This matches the CUDA behavior
- The pitch and width checks removed are already covered in ihipmemcpy2D
Change-Id: I03a6921a78b5d89723830d8dde5865fdc6db0379
Remove duplicated operators of hipComplexFloat and
hipComplexDouble.
If users need complex number multiplication and division,
they should call
hipCmulf() and hipCdivf() for hipComplexFloat,
hipCmul() and hipCdiv() for hipComplexComplex
SWDEV-428198 - Add missing operators
Add missing operators of vectors in host
Change-Id: Ie58d1642d579e7119997db49a9fd6a6641b666fd
- Support graph with different types of nodes with single
branch when DEBUG_CLR_GRAPH_PACKET_CAPTURE flag is enabled
Change-Id: I149a8629769cd0d5849ffefb04f1352668a685b6
Add hipMemcpyDeviceToDeviceNoCU to force a non blit copy path. This
helps in cases where an app may determine that CU may be busy and copies
with SDMA may be quicker.
Change-Id: I59b415dd8f6022c244e8d75f265464d5c635df1e
Fix wrong logic to get layer index;
Make layered image's layout match cuda spec;
Fix wrong comparision of element size.
Remove amd::BufferRect from ihipMemcpyAtoHCommand()
and ihipMemcpyHtoACommand().
Change-Id: Icc6a4233fbce2e9b2dc6feb79e6bfbd761684c7d
Pass LUID infromation from PAL to HIP device properties.
NodeMask is calculated based on the order of devices in PAL
Change-Id: Ic53707b68b16f392e5284a0105bf1f3941b46653
Remove duplicated operators of hipComplexFloat and
hipComplexDouble.
If users need complex number multiplication and division,
they should call
hipCmulf() and hipCdivf() for hipComplexFloat,
hipCmul() and hipCdiv() for hipComplexComplex
Change-Id: Ie58d1642d578e7118997db40a9fd6a6641b666fd
HIPRTC implementation of few type traits are defined in std
namespace which causes conflicts with the std C++ headers when
apps try to include those std headers. Instead, use the
specific implementation of these headers from __hip_internal
namespace to avoid this.
Change-Id: Ia358df159af8783d1eba9a19cd458e192bf7e9e6
- hipArray will be an internal struct from rocm6.0
Signed-off-by: sdashmiz <shadi.dashmiz@amd.com>
Change-Id: Icf97fe96b87be8532098cd7f9ceaad099f99c9b9
- alias hipGetDeviceProperties to hipGetDevicePropertiesR0600
- alias hipDeviceProp_t to hipDeviceProp_tR0600
- remove gcnArch from new device property struct
- add new requested struct members
Change-Id: If3f5dbef3d608487d9f6f419285f4bf577ea9bf0
- ML Frameworks link many ROCm component libraries
- It becomes a tedious task to figure out which library HIP is complaining about
- To improve debuggability print out the shared library name
Change-Id: I53c4d66393670356b8cafd3e48075e430f0a45ce
This reverts commit 051e1005f4.
Reason for revert: This causes build failure in hipBLASLt & hipSPARSELt
Change-Id: I59f6aeb8b82261b77eb978e53407bc56be1d0cf1
Support hipExternalMemoryGetMappedMipmappedArray().
Add ImageExternalBuffer to differiate ImageBuffer.
Currently we only support tiling_optimal mode as
vulkan driver doesn't provide tiling information.
Change-Id: I7e3524cdde53e4df9f728894bcebf4bd3f58d4d9
This reverts commit 97403db468.
After changes in upstream cmake hip-lang-config.cmake will not be required on nvidia platform.
Change-Id: I711601dac1064ea17f58437da8ffbc50678eda08
Saleel Kudchadker
Jaydeep Patel
Jatin Chaudhary
Ioannis Assiouras
Satyanvesh Dittakavi
taosang2
sdashmiz
Anusha GodavarthySurya
Ajay
kjayapra-amd
German
Rahul Garg
Maneesh Gupta
jiabaxie
Rakesh Roy
Sourabh Betigeri
Julia Jiang